A multilevel multinomial logit model for the analysis of graduates' skills. - Leonardo Grilli; Carla Rampichini (Stat. Methods Appl., 2007)

Latent class CUB models. - Leonardo Grilli; Maria Iannario; Domenico Piccolo; Carla Rampichini (Adv. Data Anal. Classif., 2014)

Funnel plots for visualizing uncertainty in the research performance of institutions. - Giovanni Abramo; Ciriaco Andrea D'Angelo; Leonardo Grilli (J. Informetrics, 2015)

From rankings to funnel plots: The question of accounting for uncertainty when assessing university research performance. - Giovanni Abramo; Ciriaco Andrea D'Angelo; Leonardo Grilli (J. Informetrics, 2016)

From rankings to funnel plots: the question of accounting for uncertainty when measuring university research performance. - Giovanni Abramo; Ciriaco Andrea D'Angelo; Leonardo Grilli (CoRR, 2018)

Discussion of 'The class of CUB models: statistical foundations, inferential issues and empirical evidence' by Domenico Piccolo and Rosaria Simone. - Leonardo Grilli; Carla Rampichini (Stat. Methods Appl., 2019)

The effects of citation-based research evaluation schemes on self-citation behavior. - Giovanni Abramo; Ciriaco Andrea D'Angelo; Leonardo Grilli (J. Informetrics, 2021)

Mixed-effect models with trees. - Anna Gottard; Giulia Vannucci; Leonardo Grilli; Carla Rampichini (Adv. Data Anal. Classif., 2023)

The role of non-scientific factors vis-à-vis the quality of publications in determining their scholarly impact. - Giovanni Abramo; Ciriaco Andrea D'Angelo; Leonardo Grilli (Scientometrics, 2024)

Exploring the effects of journal article features: Implications for automated prediction of scholarly impact. - Giovanni Abramo; Ciriaco Andrea D'Angelo; Leonardo Grilli (J. Data Inf. Sci., 2025)

Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression. - Niccolò Ducci; Leonardo Grilli; Marta Pittavino (Adv. Data Anal. Classif., 2025)